Electrochemical porosification of n-GaN across acidic–neutral–alkaline electrolytes: From morphology to surface chemistry

Electrochemical etching is a scalable route to engineer nanoporous architectures in doped GaN, but cross-comparative investigations spanning the full electrolyte chemical window are still very limited. Here, we explore the electrochemical etching of Si-doped n-GaN in acidic, alkaline, and neutral electrolytes and correlate morphology, optical properties, and surface chemistry by using various characterization and simulation methodologies. Our findings reveal that the electrolyte with different pH values not only affects the pore size and density but also alters the dominant etching mode, which leads to morphologies ranging from interconnected "sponge-like" three-dimensional pore networks to intact surfaces with slightly and anisotropically etched pores beneath. We have established semiquantitative models to elaborate the changes in near-band edge absorption due to disorders of the pores and to describe the surface oxidation/hydroxylation, through respective optical and x-ray photoelectron spectroscopy measurements. The models are further corroborated with the Raman observations, supporting a unified picture in which porosification increases disorder/local strain fluctuations. We envisage that this work offers important information on the electrochemical etching of III-nitrides using electrolytes in full pH ranges and proposes new analytical methods, which are valuable in developing power-efficient GaN optoelectronic devices.

Authors

Institutions

Publication Details

Journal
The Journal of Chemical Physics
Published
2026-07-02
DOI
https://doi.org/10.1063/5.0343858
Primary Topic
GaN-based semiconductor devices and materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electrochemical porosification of n-GaN across acidic–neutral–alkaline electrolytes: From morphology to surface chemistry

James McGettrick, Wing Chung Tsoi, Han Yan, Kar Seng Teng et al.
The Journal of Chemical Physics
GaN-based semiconductor devices and materials
article

Electrochemical porosification of n-GaN across acidic–neutral–alkaline electrolytes: From morphology to surface chemistry

James McGettrick, Wing Chung Tsoi, Han Yan, Kar Seng Teng, Yaonan Hou, Senyao Hu
article en

Abstract

Electrochemical etching is a scalable route to engineer nanoporous architectures in doped GaN, but cross-comparative investigations spanning the full electrolyte chemical window are still very limited. Here, we explore the electrochemical etching of Si-doped n-GaN in acidic, alkaline, and neutral electrolytes and correlate morphology, optical properties, and surface chemistry by using various characterization and simulation methodologies. Our findings reveal that the electrolyte with different pH values not only affects the pore size and density but also alters the dominant etching mode, which leads to morphologies ranging from interconnected "sponge-like" three-dimensional pore networks to intact surfaces with slightly and anisotropically etched pores beneath. We have established semiquantitative models to elaborate the changes in near-band edge absorption due to disorders of the pores and to describe the surface oxidation/hydroxylation, through respective optical and x-ray photoelectron spectroscopy measurements. The models are further corroborated with the Raman observations, supporting a unified picture in which porosification increases disorder/local strain fluctuations. We envisage that this work offers important information on the electrochemical etching of III-nitrides using electrolytes in full pH ranges and proposes new analytical methods, which are valuable in developing power-efficient GaN optoelectronic devices.

The Journal of Chemical PhysicsVol. 165(1)
Swansea University (GB), Nanchang Normal University (CN)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 10%
GaN-based semiconductor devices and materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.